inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Será que podemos acabar com a fome, atingir a igualdade dos sexos, deter a alteração climática, tudo isso nos próximos 15 anos?
| Czy jesteśmy w stanie zakończyć głód, osiągnąć równość płci, i powstrzymać zmiany klimatyczne w przeciągu najbliższych 15 lat? | 5 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.6515732407569885,
0.9551938772201538,
-0.05987481027841568,
-0.26749831438064575,
-0.9095788598060608,
-0.4014357626438141,
0.16226418316364288,
0.1525765359401703,
-0.030533896759152412,
-0.5220503211021423,
-0.3795761466026306,
0.5071490406990051,
-0.3689099848270416,
-0.2034137248992... |
instruction:
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as ... | look and walk around left
| 9 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.49897292256355286,
0.82647705078125,
-0.45883968472480774,
0.2835334539413452,
-0.08473196625709534,
0.2716549336910248,
-0.0033901119604706764,
0.7252065539360046,
-0.3356932997703552,
-0.04768781363964081,
-0.8546384572982788,
-0.14757151901721954,
-0.4764498174190521,
-0.0359825976192... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 0 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.21599534153938293,
0.6034717559814453,
0.659837007522583,
-0.20286601781845093,
-0.38278740644454956,
-0.4600074589252472,
1.2878303527832031,
0.3456009328365326,
-0.06312295794487,
-0.48765498399734497,
-0.7354548573493958,
-0.3237763047218323,
-0.497202605009079,
0.3778582811355591,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Input: Consider Input: Hai profesores moi bos nalgúns lugares específicos,
Output: W niektórych miejscach mamy dość skutecznych nauczycieli.
Input: Consider Input: Polo tanto, eses son indicios que suxiren que os humán... | Output: Ale coś trzeba było zrobić z odpadami a oni mieli obywatelski obowiązek.
| 2 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-0.5218297243118286,
0.6530748605728149,
-0.6540359854698181,
-0.6231591701507568,
-0.19614316523075104,
-1.6989116668701172,
0.6571573615074158,
-0.32271161675453186,
-0.23083984851837158,
-0.5353610515594482,
-0.7127174139022827,
0.4740123152732849,
-0.052983008325099945,
-0.337990134954... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Input: Consider Input: 597... | Output: 4030
| 2 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.07086580991744995,
0.6471008062362671,
-0.4291922152042389,
-0.023742876946926117,
-0.2786608040332794,
-0.23238763213157654,
0.42180135846138,
1.1294243335723877,
0.19485218822956085,
-0.29624488949775696,
-1.0862886905670166,
-0.495442271232605,
-0.4098077416419983,
0.2242060005664825... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אז ישנם דברים, תרשה לי להרחיב קצת בנושא, יש דברים שצריכה להיות בהם שקיפות מצידנו: הסמכויות שלנו, התהליכים שלנו, הפיקוח שלנו, מי אנחנו.
Output: | Hay cosas, permíteme hablar de eso un poco más, hay cosas que necesitamos sean transparentes: nuestras autoridades, nuestros procesos, nuestra supervisión, quiénes somos. | 1 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.7576291561126709,
0.6403216123580933,
0.3537769317626953,
-0.17072615027427673,
0.013621837832033634,
-0.18822592496871948,
-0.12569530308246613,
0.7540786266326904,
0.7463895678520203,
-0.04774630069732666,
-0.2961529493331909,
-0.13884490728378296,
-0.4816770553588867,
-0.015813920646... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | strengthener
| 1 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.2558460235595703,
-0.13359412550926208,
-0.7558645009994507,
0.6162303686141968,
0.023090124130249023,
-0.9736130237579346,
0.6508737802505493,
1.3861205577850342,
0.17987796664237976,
-0.47229206562042236,
-1.0911645889282227,
-0.17186813056468964,
-1.0610260963439941,
-0.08070215582847... |
Definition: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if... | NOT | 2 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.4047627449035645,
0.4067545235157013,
0.5089384317398071,
-0.036890655755996704,
-0.24920162558555603,
-0.9538371562957764,
0.2747723162174225,
0.5895124673843384,
0.40262410044670105,
0.4360208511352539,
-0.09381000697612762,
-0.16597169637680054,
-0.6736077666282654,
-0.43493419885635... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
--------
Question: English sentence: This was Escher's first contact with mathematics.
Answer: Ito ay Escher's unang makipag-ugnayan sa matematika.
Question: English sentence: 13:23 O... | Isipin Gusto ko kailangan na gawin ang isang pagbabago sa ang yunit sales post code. Pupunta ako upang gawin ang mga code unit sa disenyo, at ako pagpunta sa pumunta sa global variable.
| 7 | NIv2 | task448_opus_paracrawl_en_tl_translation | fs_opt | [
0.2864508032798767,
0.18398578464984894,
-0.174722358584404,
-0.17383497953414917,
-0.24422705173492432,
-1.223866581916809,
0.5856124758720398,
0.39777493476867676,
0.15254314243793488,
0.23375257849693298,
-0.14615212380886078,
0.43846285343170166,
-0.6920892000198364,
-0.006751023698598... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: ਦੱਖਣ ਕੋਰੀਆ ਵਿੱਚ ਮਹਾਤਮਾ ਗਾਂਧੀ ਨੂੰ ਵਿਸ਼ਵ ਸ਼ਾਂਤੀ ਦੇ ਪ੍ਰਤੀਕ ਵਜੋਂ ਸਨਮਾਨ ਦਿੱਤਾ ਜਾਂਦਾ ਹੈ।
A: مہاتما گاندھی کو جنوبی کوریا میں عالمی امن کی ایک علامت کے طور پر... | میں آج اپنے تونگر وزیراعلیٰ جناب یوگی آدتیہ ناتھ جی کا دل سے خیرمقدم کرنا چاہتا ہوں۔ بہت عمدہ طریقے سے ملک کو آگے بڑھا رہے ہیں۔ سبھی سمتوں میں ترقی کے راستے پر آگے بڑھ رہے ہیں۔ اچھی حکمرانی پر زور دے رہے ہیں۔ لیکن ان کے کپڑے دیکھ کر یہ بھرم پھیلایا جاتا ہے کہ وہ جدید سوچ کے ہوہی نہیں سکتے۔ یہ پران کو ماننے والے ہوں گے،... | 4 | NIv2 | task1051_pib_translation_punjabi_urdu | fs_opt | [
0.46017950773239136,
0.4090925455093384,
-0.31673356890678406,
-0.04204750806093216,
-0.4920165240764618,
-1.1359083652496338,
0.6700834035873413,
0.2106768637895584,
0.5598609447479248,
-0.49613720178604126,
-0.4214756488800049,
-0.05997334420681,
-0.2983592748641968,
0.20413534343242645,... |
Detailed Instructions: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]... | [79, 509, 37, 503, 613, 523, 881, 467, 839, 107, 157] | 9 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.029727675020694733,
0.28539055585861206,
-0.20888522267341614,
-0.6024777889251709,
0.057280465960502625,
-0.1749085634946823,
0.485834538936615,
0.5271975994110107,
-0.07699454575777054,
0.36606454849243164,
-0.9336678981781006,
-0.3933011293411255,
-0.6769295334815979,
0.2977113127708... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: درحالی که ما انسانها به ایفای نقش خود به عنوان برجسته ترین شکارچی روی زمین ادامه می دهیم ، من شاهد و عکاس دست اولِ بسیاری از این تاثیرات متقابل دنباله دار بوده ام.
A: Noi esseri umani continuiamo a mantenere il ruolo... | Questo è un tubo inorganico.
****
| 4 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-1.1844102144241333,
0.39571255445480347,
-0.7415376901626587,
-0.2404913455247879,
-0.7748576998710632,
-0.4161706566810608,
0.44409874081611633,
0.46668773889541626,
-0.6025938987731934,
-0.40800413489341736,
-0.8026607036590576,
0.37294483184814453,
-0.568236768245697,
0.975669741630554... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
If you stick around, then good luck. | Se c'e 'un altro arresto, allora buona fortuna. | 0 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.6843884587287903,
0.5742273330688477,
0.34220367670059204,
0.05077524483203888,
0.1683618128299713,
-0.11927149444818497,
0.041418761014938354,
-0.32789450883865356,
-0.27980637550354004,
-0.23475795984268188,
-0.7788623571395874,
0.19256407022476196,
-0.1960608810186386,
0.611486554145... |
Detailed Instructions: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:Japanese: 4つの絵は、合計で1億6300万米ドルの価値がある。
Lao: ທັງສີ່ຮູບແຕ້ມເປັນລາຄາລວມທັງໝົດ 163 ລ້ານ... | Yes | 8 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.5558643937110901,
0.08739617466926575,
0.10500522702932358,
0.38491737842559814,
0.24634432792663574,
-0.09659898281097412,
0.5563483238220215,
0.5598111152648926,
-0.41135841608047485,
-1.02103853225708,
-0.025069966912269592,
0.22802197933197021,
-0.10625317692756653,
0.52111101150512... |
Detailed Instructions: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in t... | terrified | 8 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.3664231300354004,
0.22961708903312683,
-0.0861329659819603,
-0.6768218278884888,
-0.5195834636688232,
-1.1216962337493896,
1.0999810695648193,
0.5353875756263733,
-0.028577975928783417,
-0.44612938165664673,
-0.38549089431762695,
-0.3574271500110626,
-0.5807126760482788,
0.0118740387260... |
Q: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Advanced Research Projects Energy Act (ARPA-E) Act - Instructs the Secretary of Energy to establish in ... | A bill to authorize the Secretary of Energy to establish the position of Assistant Secretary for Advanced Energy Research, Technology Development, and Deployment to implement an innovative energy research, technology development, and deployment program. | 7 | NIv2 | task1659_title_generation | zs_opt | [
-0.33972498774528503,
0.08531224727630615,
0.9784101247787476,
-0.10458692908287048,
0.05212339758872986,
-1.0491660833358765,
0.877902626991272,
0.31474292278289795,
-0.6762422919273376,
0.5790266394615173,
0.4247506856918335,
0.5977516770362854,
-0.8855694532394409,
-0.18900611996650696,... |
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "m... | What is Stuart planning to do with his friends? (A) go for a drive and have a picnic (B) watch a football game (C) see a movie and have dinner | 0 | NIv2 | task246_dream_question_generation | zs_opt | [
0.11779080331325531,
0.08905833959579468,
0.20526666939258575,
-0.6333386898040771,
0.19230198860168457,
-0.2128484547138214,
0.19181543588638306,
0.26668089628219604,
-0.07072369754314423,
0.04585781320929527,
0.5798036456108093,
0.030442029237747192,
0.12404768168926239,
-0.5042947530746... |
Q: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Sentence1: th... | rings | 7 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.16101351380348206,
1.0882303714752197,
0.22791838645935059,
-0.8191244602203369,
-0.1928940713405609,
-1.2624003887176514,
0.6997100114822388,
0.15854030847549438,
-0.4472152590751648,
-0.3133753836154938,
-0.724122166633606,
-0.07315628230571747,
-1.2217657566070557,
0.6357865333557129... |
TASK DEFINITION: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a ... | Unrelated
| 8 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.023113802075386047,
0.21535836160182953,
-0.27003729343414307,
-0.0689602643251419,
-0.3826363682746887,
0.8029048442840576,
0.6396681666374207,
0.8637033700942993,
0.7199340462684631,
-0.05668299272656441,
-0.4146118760108948,
0.2569361925125122,
-0.4488231837749481,
-0.0839998573064804... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Ex Input:
دقیقا "" چرا چین خیلی سریع تر رشد کرد ؟
Ex Output:
E allora perché la Cina è cresciuta tanto più rapidamente?
Ex Input:
حقیقتا, هر کدوم از این دلایل کافی بود که من گیاهخوار بشم.
Ex Output:
Quindi seriamente, tu... | Vedete, la prima ondata di dirigenti ha semplicemente sostituito le macchine a vapore con motori elettrici, ma non ha riprogettato le fabbriche per sfruttare i vantaggi della flessibilità dell'elettricità.
| 1 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-1.077583909034729,
0.8565050363540649,
-0.8557754755020142,
0.22100362181663513,
-1.193958044052124,
-0.8247860074043274,
-0.28205740451812744,
1.121171474456787,
0.11712082475423813,
0.13372236490249634,
-0.5616239309310913,
0.15401974320411682,
-0.3595905303955078,
0.5672991275787354,
... |
In this task your given two statements. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: The elevator doors opened.
The elevator arrived at the designated floor.
... | cause
****
| 4 | NIv2 | task828_copa_commonsense_cause_effect | fs_opt | [
-0.682870626449585,
0.8904322385787964,
0.20671890676021576,
-0.657991886138916,
0.05180496349930763,
-0.3293922543525696,
-0.029609914869070053,
1.072401762008667,
0.5730544328689575,
0.06870903074741364,
-0.43885141611099243,
0.5962584018707275,
-1.1262552738189697,
-0.14412690699100494,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, we ask you to elaborate the sentence without changing its general meaning. You can do so by explaining further the input sentence, using more precise wording, adding qualifiers and auxi... | The State of Louisiana " , Plessy 's lawyers argued that the state law which required East Louisiana Railroad to segregate trains had denied him his rights under the Thirteenth and Fourteenth amendments of the United States Constitution , which provided for equal treatment under the law . | 0 | NIv2 | task955_wiki_auto_style_transfer | fs_opt | [
0.14300134778022766,
0.6470202207565308,
-0.2433309257030487,
-0.2756790220737457,
-0.1874840259552002,
-0.545548677444458,
1.3567862510681152,
0.1226511150598526,
0.02561633475124836,
-0.594520092010498,
-0.5121960639953613,
-0.16476266086101532,
-0.6554110050201416,
0.012258246541023254,... |
Detailed Instructions: We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not ha... | Not similar | 8 | NIv2 | task147_afs_argument_similarity_gay_marriage | zs_opt | [
-0.46452420949935913,
0.520042896270752,
0.36590325832366943,
0.0769815444946289,
0.27531176805496216,
-0.5140252709388733,
0.5537844896316528,
0.7918810844421387,
0.1484878659248352,
0.23711051046848297,
-0.6324383020401001,
0.046908050775527954,
-0.5585486888885498,
-0.4695277512073517,
... |
Definition: In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physic... | nationality | 2 | NIv2 | task317_crows-pairs_classification_stereotype_type | zs_opt | [
0.21043843030929565,
0.3522178530693054,
-0.4277555048465729,
0.09903234243392944,
0.05148639529943466,
-0.07200539112091064,
0.04168614000082016,
0.7626206874847412,
0.4719960689544678,
0.32168418169021606,
-0.969203531742096,
0.2717037796974182,
-0.848422646522522,
-0.4168992042541504,
... |
Q: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Parliament must have more involvement and I also belie... | English | 7 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.14471721649169922,
0.7891694903373718,
0.6670690774917603,
-0.4174046516418457,
0.09597739577293396,
-0.9829214811325073,
0.9925252199172974,
0.6120313405990601,
0.6721206307411194,
0.05965723842382431,
-0.08671176433563232,
0.1269347369670868,
-0.08284832537174225,
-0.45246046781539917... |
Teacher:In this task, you need to count the number of words in a sentence that contain the given letter
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a blue and white vase is being displayed'. How many words contain the letter 'k' in the sentence.
Student: | 0 | 6 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.08893883228302002,
0.8111611008644104,
-0.426918089389801,
-0.907438337802887,
-0.5188601016998291,
0.2656068801879883,
0.3221927285194397,
0.6190042495727539,
0.39808207750320435,
0.41266483068466187,
0.40013617277145386,
-0.24780096113681793,
0.2623993158340454,
0.24372781813144684,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, ... | Yes | 0 | NIv2 | task607_sbic_intentional_offense_binary_classification | fs_opt | [
-0.3060990571975708,
0.21258068084716797,
0.5436232686042786,
0.6809389591217041,
0.4762350916862488,
-0.14790120720863342,
0.3447076082229614,
0.8557246327400208,
-0.031101439148187637,
0.5917301177978516,
0.24830543994903564,
-0.290614515542984,
-0.5802304744720459,
-0.1853088140487671,
... |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
One example is below.
Q: Placa motora es la unión entre la neurona motora y el
A: Motor plate is the union between the motor neuron and the
Rationale: Language translation is correct... | What is the average life time of an erythrocyte | 9 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
-0.3193252980709076,
0.05129125714302063,
0.4448802173137665,
0.2600190341472626,
-0.01486930064857006,
-1.1865860223770142,
0.23382586240768433,
0.37551701068878174,
0.44446223974227905,
-0.4802270233631134,
-0.2164480984210968,
0.8557635545730591,
-0.16346347332000732,
0.4361394345760345... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Wszystkie kolorowe linie to wyniki. Każdy kolor to jedna ankieta. | וכל השורות הצבעוניות האלה הן התוצאות כל צבע הוא סקר אחד | 0 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.9041429758071899,
0.22940000891685486,
0.07093106955289841,
-0.4799312949180603,
-0.2570337951183319,
0.6611394882202148,
0.627517819404602,
-0.5982098579406738,
0.15505874156951904,
-0.6573230624198914,
-0.8660611510276794,
0.34411728382110596,
-0.2117006927728653,
-0.24949628114700317... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
One example is below.
Q: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
A: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Rationale: The Hebrew sentence... | نحن نعيش في بيئة معقدة: التعقيد والحيوية وكل الأنماط الواضحة في صور الأقمار الاصطناعية ، والفيديوهات. | 9 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.8518738746643066,
0.8054988980293274,
0.29449623823165894,
-0.7265849113464355,
-0.5854334235191345,
-0.2518809139728546,
0.7060897946357727,
0.18863454461097717,
0.5546307563781738,
-0.3701786994934082,
-1.1946825981140137,
0.3514159321784973,
-0.9638414978981018,
0.27501729130744934,
... |
Q: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
WASHINGTON — Two of the Persian Gulf’s richest monarchies pledged $8 billion in cash and loans to Egypt on Tuesday, a decision that was aimed not only at shoring up a shaky transitional govern... | Here are some of the words the White House has used to describe the situation in Egypt, as rounded up by Dana Milbank in the Washington Post: incredibly complex, uncertain, polarized, challenging, transitional, and fluid. And here's the one word the administration keeps avoiding: coup. Because if it's a coup—specifical... | 7 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.7159227728843689,
0.40121936798095703,
-0.19953688979148865,
-0.6843780279159546,
0.3645973801612854,
-0.20365116000175476,
1.2224667072296143,
1.1283742189407349,
0.10340407490730286,
0.6810750961303711,
0.13857293128967285,
0.4383499026298523,
-0.7845510244369507,
0.3353974223136902,
... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Q: Category: LOOK WHAT'S "UMP"
Clue: It begins every basketball game
A: | a jump ball | 4 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.384731262922287,
0.3993369936943054,
-0.882365345954895,
0.5947906970977783,
-0.07058201730251312,
0.056631967425346375,
1.0478153228759766,
-0.0102170929312706,
0.6533780694007874,
-0.5411257743835449,
-0.40672892332077026,
-0.12443231791257858,
-0.5889016389846802,
0.44402289390563965... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | yes
| 3 | NIv2 | task472_haspart_classification | fs_opt | [
-0.7179248332977295,
0.463617205619812,
0.707628607749939,
0.12315551936626434,
-0.13153088092803955,
-0.6032649874687195,
-0.4159453511238098,
0.48202869296073914,
0.5501934885978699,
-0.36237645149230957,
-0.49727335572242737,
0.15563607215881348,
-0.4005633592605591,
0.07855013757944107... |
TASK DEFINITION: In this task, you will be presented with a question having multiple possible answers in Swahili language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
PROBLEM: Question: Je! Watu hupata bia yao kutoka kati gani?
Options: A jokofu... | E
| 8 | NIv2 | task1144_xcsr_sw_commonsense_mc_classification | fs_opt | [
-0.10295748710632324,
0.8961063623428345,
-0.6706677079200745,
-0.03703649342060089,
-0.5380165576934814,
-0.5067857503890991,
1.440855622291565,
0.7478947043418884,
0.5094566345214844,
-0.46974503993988037,
-0.3075006604194641,
0.3012551963329315,
-0.21550816297531128,
0.01546258386224508... |
Given the task definition and input, reply with output. In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neu... | neutral | 5 | NIv2 | task1554_scitail_classification | zs_opt | [
0.03747660666704178,
0.3126749098300934,
0.013137904927134514,
0.2678597867488861,
-0.03763750195503235,
-0.9585993885993958,
-0.1879255473613739,
0.5252957940101624,
-0.06760057806968689,
-0.004009749740362167,
-1.1624436378479004,
-0.18612104654312134,
0.11465440690517426,
-0.27641230821... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
[Q]: Paragraph: cDNA, synthesized on bovine coronaviru... | False
| 5 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.28355562686920166,
0.5683562755584717,
-0.4229581356048584,
-0.023191511631011963,
0.4959838390350342,
0.07669086009263992,
1.1266226768493652,
1.0062835216522217,
-0.07704181224107742,
0.1452762484550476,
-0.9116204380989075,
0.5979592204093933,
-0.2247769683599472,
0.4933152198791504,
... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True | 3 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
0.23440219461917877,
0.3731883764266968,
-0.5922813415527344,
0.20360501110553741,
0.31705790758132935,
-0.2733759880065918,
0.5228046774864197,
1.4179511070251465,
-0.3625008463859558,
0.5707463026046753,
-0.767806351184845,
0.5498790144920349,
0.0391288623213768,
0.02928413823246956,
0... |
Detailed Instructions: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: Hel... | user | 9 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.3515552282333374,
0.400158166885376,
-0.22037196159362793,
-0.5595601797103882,
-0.5788957476615906,
-0.4188106060028076,
0.874992311000824,
-0.5917184352874756,
1.0618363618850708,
-0.43426865339279175,
-0.23235203325748444,
-0.3826831579208374,
-0.007221754640340805,
-0.14239093661308... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | date of death
| 1 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.3235696256160736,
0.41680073738098145,
-0.6513687968254089,
0.4274142384529114,
0.7891473770141602,
0.5873522162437439,
-0.19774393737316132,
0.5884426832199097,
-0.17343547940254211,
0.3744879961013794,
0.03990323096513748,
-0.27971142530441284,
-0.4683351218700409,
0.02324497699737549,... |
Given the task definition, example input & output, solve the new input case.
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Swedish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the... | Det stod klart att något hade inträffat, så vi tog oss närmare och frågade dem vad som var fel. | 1 | NIv2 | task1648_opus_books_en-sv_translation | fs_opt | [
-0.4987553358078003,
0.3387143313884735,
-0.4758780598640442,
-0.6277638673782349,
0.2549700438976288,
0.08789646625518799,
0.7453851103782654,
-0.02789897844195366,
0.23587381839752197,
-0.7382076978683472,
0.22025373578071594,
0.835852861404419,
-0.39283502101898193,
-0.1032814309000969,... |
Teacher:In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Teacher: Now, understand the problem? Solve this instanc... | 3 | 6 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.731926441192627,
0.02845643274486065,
-0.914619505405426,
-0.06117434799671173,
0.4870034158229828,
0.6846745014190674,
1.4332678318023682,
1.0673375129699707,
-0.4051802158355713,
0.3676959276199341,
0.0020518596284091473,
0.5243374705314636,
-1.0220367908477783,
0.20566435158252716,
... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | 217 | 3 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.2588598132133484,
0.9099502563476562,
-0.586693525314331,
-0.5668560862541199,
-0.22759218513965607,
-0.4365311861038208,
0.9805850982666016,
0.908097505569458,
-0.0295239444822073,
-0.9064441919326782,
-0.5390642285346985,
0.8586292266845703,
-0.9384862780570984,
0.010122343897819519,
... |
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Input: Consider Input: ['1831', '545', 'k', '5975', 'Q', '6421', 'A', 'h', '9831', 'i', 'X', '3289',... | Output: 7, 2167, 3655, 9001, 24, 6651, 9241, 19, 3603, 9, 3, 4695, 10, 7, 7919, 6927, 9641, 3463, 19, 22, 3235, 9, 1941, 1919, 18, 333, 5671, 24, 16, 26, 5531, 24
| 2 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
0.12398973107337952,
-0.11260741204023361,
0.46839216351509094,
-0.3604133129119873,
-0.00753140589222312,
-0.8399534225463867,
0.41252338886260986,
0.5227396488189697,
-0.06879910826683044,
0.16241885721683502,
-0.30939334630966187,
0.10779723525047302,
-0.28794461488723755,
0.00069473055... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
One example is below.
Q: [1, 2, 3]
A: [0.167, 0.333, 0.500]
Rationale: The output list sums to 1.0 and has the same... | [ 0.318 0.33 0.111 -0.148 0.005 0.187 0.006 0.107 0.083] | 9 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.20930403470993042,
0.5237931609153748,
-0.9815335869789124,
-0.9000400304794312,
0.24684365093708038,
-0.18314549326896667,
0.8256499171257019,
-0.1872463822364807,
-0.1396879255771637,
-0.26573413610458374,
-1.0115315914154053,
0.3705269694328308,
-0.17066694796085358,
-0.5044274926185... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | Nikolai Trubetzkoy
| 0 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.1176094114780426,
0.7423481941223145,
-0.22512152791023254,
-0.43239694833755493,
0.4722832143306732,
0.20614394545555115,
0.5888493657112122,
0.24611598253250122,
0.22734160721302032,
0.1837378442287445,
0.1811560094356537,
0.18598616123199463,
-0.7347260117530823,
0.13754042983055115,
... |
Given the task definition and input, reply with output. Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equali... | Hope Speech | 5 | NIv2 | task681_hope_edi_malayalam_text_classification | zs_opt | [
-0.6262396574020386,
0.15065346658229828,
0.45121386647224426,
0.020640479400753975,
-0.565285325050354,
-0.40753936767578125,
0.2693072557449341,
0.7230884432792664,
-0.33247309923171997,
-0.13177458941936493,
-0.8140844106674194,
0.12427902221679688,
-0.2934458255767822,
-0.0022002300247... |
Q: A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
రామకృష్ణ మఠం ఇంకా అనేక కార్యక్రమాలను నిర్వహించింది.
A: | মঠের উদ্যোগে বেশ কিছু অনুষ্ঠানের আয়োজন করা হয়েছে। | 7 | NIv2 | task1032_pib_translation_telugu_bengali | zs_opt | [
0.3955637812614441,
1.0370216369628906,
0.2399318516254425,
0.6717204451560974,
0.2666197121143341,
-1.0002117156982422,
-0.3460109829902649,
0.7600656151771545,
-0.033448949456214905,
0.33466604351997375,
0.09763139486312866,
-0.5099326372146606,
-0.5544834136962891,
0.5976932644844055,
... |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Если вы едете плавать, вам нужно найти водоем.
| 3 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
0.13970862329006195,
0.2173706740140915,
0.2974993884563446,
-0.3819064795970917,
-0.3355375826358795,
-0.2591889500617981,
0.600996732711792,
1.965957522392273,
0.023167496547102928,
-0.25706255435943604,
-0.8658404350280762,
0.0738222524523735,
-0.28270021080970764,
0.5258568525314331,
... |
Detailed Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Q: Perky cheerleaders jump up and down as the crowd goes wild. Among them, someone
A: | cocks his head at someone. | 9 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.00584762217476964,
1.2828449010849,
-0.37704044580459595,
-0.3604315519332886,
-0.1592472791671753,
0.2769971787929535,
-0.7795931100845337,
0.8109601736068726,
0.46727630496025085,
-0.2615428566932678,
-0.5726173520088196,
0.1309611201286316,
-0.7218431234359741,
-0.7491327524185181,
... |
Detailed Instructions: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Problem:What species no which cidippid is used as a description on ctenophores in most textbooks?
Solution: | Which cidippid is used as a description on ctenophores in most textbooks? | 8 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.8475216627120972,
0.7216510772705078,
-0.6265069246292114,
-0.5457251071929932,
-0.39300042390823364,
-0.6187044978141785,
0.48895853757858276,
0.34763893485069275,
-0.13312043249607086,
-0.4552195370197296,
-0.17931175231933594,
-0.9956851005554199,
-0.9682071208953857,
0.1690048277378... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | This man is giving a speech to others. | 8 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
0.08066822588443756,
0.5735161900520325,
0.5657916069030762,
-0.4394557774066925,
0.3443394899368286,
-0.6168035268783569,
-0.6210345029830933,
0.6596222519874573,
0.4774215519428253,
0.028408564627170563,
-0.39535292983055115,
0.030744381248950958,
-0.833968997001648,
-0.3584894835948944,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if... | no | 1 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.8661664724349976,
-0.1904977709054947,
0.06085441634058952,
0.567426860332489,
0.07131506502628326,
0.23293446004390717,
0.46887215971946716,
0.06954104453325272,
0.27363765239715576,
0.016047876328229904,
-0.8213928937911987,
0.141924187541008,
-0.46920597553253174,
0.11914018541574478... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Ex Input:
Question: If Jim moves his... | Sally
| 1 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.42698588967323303,
0.1027473658323288,
-0.5430284738540649,
-0.17214003205299377,
0.3385067284107208,
-0.8089778423309326,
-0.1039850264787674,
0.6551121473312378,
0.4422155022621155,
0.16870719194412231,
-0.5584229230880737,
0.1660151481628418,
-0.5828108191490173,
-0.3468390703201294,... |
Given the task definition, example input & output, solve the new input case.
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct a... | sulfuric reactions | 1 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.6276501417160034,
0.750654399394989,
-0.24770116806030273,
0.4113706946372986,
0.16620077192783356,
-0.5389022827148438,
-0.022514138370752335,
0.7099969387054443,
0.2182880938053131,
-0.08925943821668625,
0.23667177557945251,
-0.31123459339141846,
-0.1161726862192154,
-0.577008128166198... |
Teacher: In this task, you need to count the number of words in a sentence that contain the given letter
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'two gray birds standing in a green field'. How many words contain the letter 'a' in the sentence.
Solution: 3
Re... | 1 | 2 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.28939223289489746,
-0.12723201513290405,
-0.19569507241249084,
-1.418920874595642,
-0.28598517179489136,
-0.16970495879650116,
-0.1454562246799469,
0.5481827855110168,
0.5271289348602295,
-0.5243043899536133,
-0.6438651084899902,
-0.10944020003080368,
-0.36831164360046387,
-0.4971905946... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Así nos convertimos en uno de los estudios de jazz más nuevos y populares de los Estados Unidos — (Risas) en medio de un barrio marginal con alta tasa de crimen.
A: | Staliśmy się jednym z tych młodych, a popularnych studiów nagraniowych w Stanach Zjednoczonych, gdzie nagrywa się muzykę jazzową. (Śmiech) w samym środku zaniedbanej części śródmieścia z wysokim wskaźnikiem przestępczości. | 7 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.02764277160167694,
1.4309173822402954,
-0.26138541102409363,
-0.2655922472476959,
-0.2765757739543915,
-0.4512522518634796,
0.10421539843082428,
0.3109266757965088,
0.3566094636917114,
0.6076159477233887,
-0.12669862806797028,
0.3216288983821869,
-0.2813606858253479,
-0.0961564406752586... |
Teacher:Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Japanese: 彼... | Yes | 6 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.027468211948871613,
0.33396828174591064,
0.3469662070274353,
0.2187844216823578,
0.1203804463148117,
-1.136620283126831,
0.7624012231826782,
0.039855245500802994,
-0.14879629015922546,
-0.6345233917236328,
-0.286063015460968,
0.8044369220733643,
-0.9868577718734741,
0.2159712016582489,
... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
[EX Q]: ... | 6789
| 6 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.29670408368110657,
0.4312400221824646,
-1.1048591136932373,
-0.10844187438488007,
-0.690479040145874,
-0.3751299977302551,
0.17144247889518738,
1.2193105220794678,
0.5403949618339539,
0.015160879120230675,
-0.4982495605945587,
-0.3168242573738098,
0.021205373108386993,
0.031281948089599... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Q: Nasdaq a scăzut cu aproximativ 0,4 la sută pentru luna respectivă, pe calea de a rupe o serie de câștiguri de 7 luni.
A: | The Nasdaq is down roughly 0.4 percent for the month, on track to snap a 7-month streak of gains. | 4 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-1.0336909294128418,
1.2166540622711182,
0.07992537319660187,
-0.28455522656440735,
0.2621114253997803,
0.046888601034879684,
0.6112505197525024,
0.799679160118103,
0.27773380279541016,
0.4798904359340668,
-0.07864612340927124,
-0.49475082755088806,
0.007823983207345009,
-0.306980371475219... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - P... | Moneypenny: B-PER | 1 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.6451845765113831,
-0.015879854559898376,
0.0482805110514164,
-0.31820011138916016,
-0.3876228928565979,
0.058934286236763,
1.7065505981445312,
0.14814594388008118,
0.24853219091892242,
-0.6979514360427856,
-0.32947444915771484,
0.34652554988861084,
0.1505509912967682,
-0.241568773984909... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
（ 笑 ） さて重要なのはほぼ青いボールしか入っていない箱から青を３つ続けて取るのは簡単だという点です | (צחוק) אבל מה שחשוב זה שממש קל לשלוף שלושה כדורים כחולים ברצף מתוך תיבת כדורים בעיקר כחולים. | 0 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.4956420063972473,
0.5799723863601685,
-0.3219364881515503,
-0.3673635721206665,
-0.4916090965270996,
0.05985482037067413,
0.5114725828170776,
0.2729286551475525,
0.2502307891845703,
-0.9097798466682434,
-0.3537340462207794,
0.5692776441574097,
-0.466224730014801,
0.3555710017681122,
0... |
Part 1. Definition
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.... | A | 7 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.38075101375579834,
0.6677481532096863,
-0.16346901655197144,
0.1348336935043335,
-0.215831458568573,
0.07101646065711975,
0.7166614532470703,
0.48560023307800293,
0.2533998191356659,
0.40812793374061584,
-0.5949655175209045,
-0.04892917722463608,
-0.44547030329704285,
-0.1668875962495803... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physic... | make sure that the butter and cheese are room temperature before you start cooking | 0 | NIv2 | task080_piqa_answer_generation | fs_opt | [
0.13191178441047668,
0.7426188588142395,
-0.7705161571502686,
0.20307594537734985,
-0.13037925958633423,
-0.03459181264042854,
0.6424382925033569,
0.32852205634117126,
0.23035550117492676,
0.060245268046855927,
-0.058352280408144,
-0.06332191079854965,
-0.08297887444496155,
0.3825407028198... |
Instructions: In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentence... | E | 3 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.8454440236091614,
0.028764158487319946,
-0.03343454748392105,
0.00004201557021588087,
-0.28827744722366333,
0.14240285754203796,
0.705374538898468,
0.02717299573123455,
0.5833640098571777,
-0.3879985809326172,
-0.7072747349739075,
-0.6561332941055298,
-0.4103873670101166,
-0.21676345169... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Problem:.لقد نسيت شيئا
Solution: | You forgot something. | 8 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.3946906328201294,
1.0338459014892578,
-0.3617764413356781,
-0.6123304963111877,
-0.20507729053497314,
-0.20798331499099731,
1.3925094604492188,
0.3570985794067383,
0.12941628694534302,
-0.05769891291856766,
0.07968305051326752,
-0.6163301467895508,
-1.0191518068313599,
0.6315462589263916... |
Instructions: You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is un... | surprise | 3 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.6265143156051636,
-0.2358718365430832,
0.3098601996898651,
-0.4514540135860443,
-0.4274352788925171,
-0.3180376887321472,
0.5234484076499939,
0.6205683350563049,
-0.013705573044717312,
-0.05356062948703766,
-0.6447160840034485,
-0.051710065454244614,
0.11632397770881653,
0.2583256363868... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your... | Output: entails
| 2 | NIv2 | task1529_scitail1.1_classification | fs_opt | [
0.325399249792099,
0.5559908747673035,
-0.738533616065979,
0.3403887152671814,
-0.8194970488548279,
-0.4767230749130249,
0.5507423877716064,
0.6056121587753296,
0.21972042322158813,
-0.5290949940681458,
-1.8028364181518555,
0.2253572642803192,
-0.20073771476745605,
-0.11531709879636765,
... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | Sally got asked out by a cute guy.
****
| 4 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.5039191246032715,
0.3953372836112976,
-0.2110428810119629,
-0.5162560939788818,
-0.1422356218099594,
-0.024884074926376343,
0.23414190113544464,
0.4404872953891754,
-0.356631338596344,
0.21150299906730652,
-0.5510909557342529,
0.04713345319032669,
0.015789799392223358,
-0.26663666963577... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: ホワイトヘブン、シースケール、エグルモントでなど全体で３０の異なる犯罪現場で銃撃が起こった。
Lao: ການແກ້ໄຂ ໄດ້ຖືກຍື່ນໄປທີ່ ສະພາຕ່ຳ ແລະ ອີງຕາມ ຄະນະກ... | No | 0 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.9620156288146973,
-0.46685677766799927,
0.2205842286348343,
0.22848959267139435,
0.20878365635871887,
0.08442778140306473,
0.5319067239761353,
0.8459391593933105,
-0.5343633890151978,
-0.5106322765350342,
0.06755375862121582,
0.8667123317718506,
-0.4588780403137207,
0.8033487200737,
0... |
Part 1. Definition
In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Part 2. Example
Le crépuscule du Dieu . Cet enregistrement des années 70... | NEG | 7 | NIv2 | task484_cls_french_music_classification | fs_opt | [
-0.2724825143814087,
-0.08758801221847534,
-0.44837307929992676,
0.07964852452278137,
0.2846873700618744,
-0.2666771113872528,
0.8588581085205078,
0.7884556651115417,
0.2256918102502823,
0.8312721252441406,
-0.5557369589805603,
-0.00724833644926548,
0.31127113103866577,
-0.0617005079984664... |
Detailed Instructions: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Q: PersonX uses ___ to represent
A: | pins | 9 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.003372392849996686,
0.9881672263145447,
-0.0011774608865380287,
-0.44163164496421814,
-0.6760188341140747,
-0.17022204399108887,
1.5444953441619873,
0.6200520396232605,
-0.26349249482154846,
-0.9373323917388916,
0.1660207360982895,
-0.503074586391449,
-0.18904860317707062,
-0.0050129648... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
--------
Question: WK: Sim.
Answer: WK: でしょう
Question: Pessoas incríveis comprometeram-se em proteger as nossas crianças da necessidade e do medo.
Answer: 偉大な人たちが決意を表明しています私たちは子供たちを貧困と恐怖から守ると
Question: Isso não... | これは信仰ではありません
| 7 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.40510067343711853,
0.5395989418029785,
0.17829282581806183,
-0.4258171319961548,
-1.0862127542495728,
-0.5907757878303528,
1.4828637838363647,
-0.08028445392847061,
-0.11095137894153595,
-0.40729886293411255,
-0.3573721647262573,
0.4180888235569,
-0.8040688633918762,
0.17517223954200745... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
[Q]: Who is the boy in rihanna's w... | March 3, 1931
| 5 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.13330136239528656,
0.8227752447128296,
-0.5326806306838989,
-0.09045442938804626,
-0.6909914016723633,
-0.1476840227842331,
1.1121091842651367,
-0.14260080456733704,
-0.08633473515510559,
0.45367324352264404,
-0.9365819692611694,
0.48043203353881836,
-0.22181619703769684,
0.042882334440... |
Given the task definition, example input & output, solve the new input case.
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part a... | no | 1 | NIv2 | task472_haspart_classification | fs_opt | [
-0.7928345203399658,
0.1432930827140808,
0.5801224708557129,
0.34259936213493347,
-0.028007803484797478,
-0.5717032551765442,
0.1967373490333557,
0.7519899010658264,
0.6142828464508057,
-0.18760886788368225,
-0.35255518555641174,
-0.07535065710544586,
-0.062143392860889435,
-0.038648806512... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | I decided to throw the ring away. | 4 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.2878915071487427,
1.429489016532898,
-0.3525767922401428,
-0.6508418917655945,
-0.5127869844436646,
-0.36333850026130676,
0.5542082786560059,
0.4512516260147095,
-0.3327721059322357,
0.018651269376277924,
-0.5703699588775635,
0.6399113535881042,
-0.4702197015285492,
-0.10388271510601044... |
Detailed Instructions: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the questi... | Some ounces of gold was sold in exchange for a yacht. I never know the _ is that expensive. | 8 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.6466235518455505,
0.20674118399620056,
-0.01216106303036213,
-0.41929855942726135,
0.5536069869995117,
-0.7793322205543518,
0.8341056704521179,
1.0692713260650635,
-0.7840383052825928,
-0.09958002716302872,
-0.28822243213653564,
0.33313941955566406,
-0.6163963079452515,
0.037772364914417... |
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | D
| 5 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
-0.36062175035476685,
1.2236484289169312,
-0.6319351196289062,
-0.610949695110321,
-0.5689124464988708,
-1.0924912691116333,
0.07292167842388153,
0.9255397319793701,
0.11347845196723938,
-0.0945037454366684,
-0.41898220777511597,
-0.4476621150970459,
-0.0032432200387120247,
-0.270215332508... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Input: mais é unha das ferramentas de adaptación máis importantes.
Output: | But it is also one of our highest forms of adaptation. | 2 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.6086942553520203,
0.7870337963104248,
-0.35904833674430847,
-0.03312397375702858,
0.17594340443611145,
-0.9752289056777954,
0.32237541675567627,
0.25371670722961426,
0.28810638189315796,
0.08346596360206604,
-0.8090164661407471,
-0.17382046580314636,
-0.48625433444976807,
0.804840087890... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
[Q]: اپراتور میگه ، "" فقط آروم باش. من کمکت می کنم. اول باید مطمئن شیم که اون مرده. "" یه سکوت می شه ، بعد اپراتور صدای شلیک میشنوه. یه سکوت می شه ، بعد اپراتور صدای شلیک میشنوه.
[A]: Primero vamos a asegurarnos de qu... | Otras proyectan una energía que casi no pueden contener, como Nueva York o Hong Kong.
| 5 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
0.2103242576122284,
0.7452709078788757,
-0.6522514820098877,
-0.6685342192649841,
-0.14239375293254852,
-0.6679013967514038,
0.5176439881324768,
0.4156361222267151,
0.818317174911499,
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-0.5131648778915405,
-0.3153020739555359,
0.047771863639354706,
0.24848295748233795,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Example input: Poradzi sobie, ale trzeba na nią uważać.
Example output: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Example explanation: The Polish sentence is correctly translated into Arabic, because the meaning is prese... | (تصفيق) أريد أن أشير لعدة اشخاص استثنائيين في هذه الصورة | 3 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.033130865544080734,
1.1268718242645264,
0.15957006812095642,
-0.7584967017173767,
-0.06497722864151001,
-0.6630876660346985,
1.2758798599243164,
-0.734512448310852,
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0.22182005643844604,
-0.7232174873352051,
0.4436260163784027,
-1.1492741107940674,
0.7215485572814941... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
[EX Q]: Sent... | Identifiable
| 6 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-1.1726595163345337,
0.6142894625663757,
-0.5112612843513489,
-0.7965854406356812,
-0.11998310685157776,
-0.048234280198812485,
0.06649429351091385,
0.3432874083518982,
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-0.017088431864976883,
-0.6014251112937927,
0.19317851960659027,
-0.37199342250823975,
-0.20564071834... |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
Example Input: كانت العبارات التي نقلتها وسائل الإعلام عن هؤلاء النسوة أقرب إل... | Nedávná dohoda přiznala Řecku úlevu ve výši 237 miliard eur, což je asi o 30% více, než kolik činí čistý národní důchod země (zhruba 180 miliard eur). Taková pomoc však jen upevňuje špatně nastavené ceny – a tím i nekonkurenceschopnost ekonomiky.
| 3 | NIv2 | task1374_newscomm_translation | fs_opt | [
0.14794062077999115,
0.007530459202826023,
-0.30306094884872437,
-0.05396685749292374,
0.12140921503305435,
0.446932852268219,
0.99608314037323,
1.2357003688812256,
0.548760712146759,
-0.23168084025382996,
-0.6210514903068542,
0.7447028160095215,
-1.1198798418045044,
-0.358468234539032,
... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | Solution: Y | 5 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.5412161350250244,
0.3437248468399048,
0.024511776864528656,
-0.33827733993530273,
0.15927442908287048,
0.11841855943202972,
-0.08592469990253448,
0.8726018667221069,
-0.04575269669294357,
0.08826448023319244,
-0.6147047281265259,
0.22549954056739807,
-0.5051891803741455,
-0.217891484498... |
Given the task definition and input, reply with output. Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence sto... | Hector was running next to him cheering him along. When the kid tripped on a shell, the kite fell down. So Hector took over and made the kite fly high again. | 5 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.01099142525345087,
0.07586827874183655,
-0.1484174281358719,
-0.04392445832490921,
-0.1619196981191635,
-0.4321955144405365,
-0.3162383437156677,
1.225585699081421,
-0.37746870517730713,
-0.1313917338848114,
-0.6480759382247925,
-0.21544666588306427,
-0.3390089273452759,
0.09500989317893... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | ytRcKHaaabbceefghlmnqqqqtzZPPuUFOZHJQw, FsKhVqgjxkaaabbceefghlmnqqqqtzQGQtWMbJYkZAtH | 8 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.2585110664367676,
0.1258266568183899,
-0.18565791845321655,
-0.1281096339225769,
0.14121034741401672,
-0.25332680344581604,
0.6336743831634521,
0.7879638671875,
-0.06572182476520538,
0.3454999029636383,
-0.7200605869293213,
-0.2216644585132599,
-0.26156026124954224,
-0.023345598950982094... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
One example... | Funny | 6 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.1344454437494278,
0.4455622136592865,
0.3766160309314728,
0.2001010775566101,
-0.19308406114578247,
-0.5597047805786133,
0.318393737077713,
1.1447176933288574,
0.03394616022706032,
0.3239210844039917,
-0.9287703037261963,
-0.28790462017059326,
-0.6389908790588379,
-0.044756658375263214,
... |
Teacher:Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Japanese: 主張に答えて、チャリティー・クリスチャン・エイドは「ス... | Yes | 6 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.12661558389663696,
-0.7348349094390869,
0.13079985976219177,
-0.2965473532676697,
-0.12255281955003738,
-1.266249418258667,
0.5665969848632812,
0.26775723695755005,
-0.47365283966064453,
-0.12813423573970795,
-0.3594866394996643,
-0.3298754096031189,
-0.7965785264968872,
-0.033411160111... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Would you please weight this letter for me ?
Person2: Well , it's a bit overweight . You must pay extra f... | 0 | 0 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.09574969857931137,
0.7332277297973633,
-0.1900731921195984,
-0.20111802220344543,
0.10784086585044861,
-0.3325785994529724,
0.9676070809364319,
0.1957390308380127,
0.2048811912536621,
-0.6088328957557678,
-0.11353862285614014,
-0.6234948635101318,
-0.7273563742637634,
0.0544350333511829... |
instruction:
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
questio... | cup
| 9 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.46638965606689453,
0.8931600451469421,
-0.3642168939113617,
-0.5419439673423767,
-0.1925283819437027,
-0.8774611949920654,
0.8078677654266357,
0.6075389385223389,
0.19570490717887878,
0.08352348953485489,
0.11186163127422333,
-0.13699857890605927,
-0.363358736038208,
-0.2163660228252411,... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
--------
Question: Under the new Arizona i... | medicaid
| 7 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.3849908709526062,
0.019344858825206757,
0.2756800949573517,
0.7005861401557922,
-0.10186032950878143,
-0.17534437775611877,
0.05085486173629761,
0.4541195034980774,
-0.058682311326265335,
-0.25953567028045654,
-0.45773547887802124,
-0.2557038962841034,
-0.6249129772186279,
-0.25525748729... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Example I... | No
| 3 | NIv2 | task227_clariq_classification | fs_opt | [
-0.23693859577178955,
-0.29474014043807983,
-0.2089829295873642,
0.13373252749443054,
-0.53265380859375,
-0.3642231225967407,
1.1818482875823975,
0.21470588445663452,
0.3705514371395111,
-0.05484252795577049,
-0.09814705699682236,
-0.44822949171066284,
-0.890957236289978,
-0.00413546897470... |
Given the task definition and input, reply with output. Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to t... | who plays the role of marty on life with derek? | 5 | NIv2 | task442_com_qa_paraphrase_question_generation | zs_opt | [
0.12504024803638458,
1.0074076652526855,
0.01640217937529087,
-0.2812742590904236,
-0.8290318250656128,
-0.20800010859966278,
1.4230636358261108,
0.11714676022529602,
0.024853317067027092,
-0.26772013306617737,
-0.6964472532272339,
0.46826744079589844,
-0.8989859819412231,
0.30246767401695... |
You will be given a definition of a task first, then some input of the task.
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the ... | yes | 1 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.299885094165802,
-0.6371740102767944,
0.04645484313368797,
-0.04334874078631401,
-0.1935359388589859,
-0.5281561613082886,
0.6509252786636353,
0.534905731678009,
-0.47727087140083313,
-0.18120786547660828,
0.2869744300842285,
0.38872140645980835,
-0.6074516773223877,
-0.2743682265281677... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | strengthener | 4 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
-0.04746633023023605,
0.14649392664432526,
-0.6309581995010376,
0.1810092031955719,
-0.1250268518924713,
-0.8804559707641602,
0.599994957447052,
1.4769840240478516,
0.6758875250816345,
-0.5208042860031128,
-1.1466293334960938,
0.26823800802230835,
-0.646914005279541,
0.08836916089057922,
... |
Definition: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks fo... | I_RUN I_RUN I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP | 2 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.04329283908009529,
0.3921106457710266,
-0.35968247056007385,
0.019265323877334595,
0.197554811835289,
0.02098606899380684,
0.420608788728714,
0.06573808193206787,
-0.05021350458264351,
-0.20261725783348083,
-0.7937557697296143,
-0.18182721734046936,
-0.7456235885620117,
-0.09324873238801... |
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, ... | [64, 256, 4096] | 3 | NIv2 | task1444_round_power_of_two | fs_opt | [
-0.3806014060974121,
0.941383957862854,
-0.34778207540512085,
-0.224994957447052,
-0.20628318190574646,
0.03495752438902855,
0.7418692111968994,
0.7628307938575745,
-0.3410978317260742,
0.15821030735969543,
-0.21241962909698486,
0.6416517496109009,
-0.13921032845973969,
0.00273220427334308... |
Part 1. Definition
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFEN... | NOT | 7 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.005882978439331,
0.5289345383644104,
0.4442674517631531,
0.26741719245910645,
-0.19022411108016968,
-0.5272342562675476,
0.26411470770835876,
0.2555235028266907,
0.6280322074890137,
-0.23037292063236237,
0.6514506936073303,
-0.009150240570306778,
-0.4990713596343994,
-0.6038320064544678... |
You will be given a definition of a task first, then some input of the task.
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere with... | formal | 1 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.6307876706123352,
0.4135977327823639,
0.20852088928222656,
0.18832917511463165,
0.015150963328778744,
-0.23385071754455566,
0.7167489528656006,
0.19607855379581451,
-0.1201574057340622,
-0.1953428089618683,
-0.5384093523025513,
0.08312422037124634,
0.09119579195976257,
-0.00786633510142... |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations an... | what is the smallest city in arkansas | 8 | NIv2 | task184_break_generate_question | zs_opt | [
0.6328275203704834,
0.2711959183216095,
-0.8381044268608093,
0.32602977752685547,
0.25746726989746094,
-0.5741053819656372,
1.0469260215759277,
0.5155349969863892,
-0.4769677519798279,
0.4408397078514099,
-0.4840172827243805,
0.6902334690093994,
-0.31200605630874634,
0.0718262791633606,
... |
Part 1. Definition
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive stateme... | No | 7 | NIv2 | task607_sbic_intentional_offense_binary_classification | fs_opt | [
-0.34590208530426025,
-0.018084073439240456,
0.648199200630188,
0.5122404098510742,
0.5690869092941284,
-0.0464780256152153,
0.5892300605773926,
0.5747295618057251,
0.019014950841665268,
0.2468172311782837,
-0.07753886282444,
-0.37230491638183594,
-0.611495852470398,
-0.5032141208648682,
... |
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